Defect Detect

The Defect Detection accelerated application is a machine vision application that automates detection of defects in mangoes and sorting in high-speed factory pipelines by using computer vision library functions.

Note

The test mango image is taken from the COFILAB site.

Overview

• Introduction

Features

• Monochrome images from a live camera source or a file source

• Defect detection and sorting of mangoes

• HDMI or DisplayPort out from the various stages

• User programmable CV Models

Quick Start

• Setting up the Board and Application deployment

Tutorials

• Building the Design components
• Building the Hardware design using Vivado
• Creating a Vitis Platform
• Integrating an overlay into the platform
• Generating Custom Firmware
• Kria Starter Kit Linux Boot
• Rebuilding Application Docker Containers
• Integrating New Sensors

Architecture

• Software Architecture - Platform
• Software Architecture - Accelerator
• Hardware Architecture - Platform
• Hardware Architecture - Accelerator

Repository

• Software Repository

Other

• Examples in Demo Mode
• Obtaining Latency Measurements
• Next Steps
• Limitations
• Known Issues

Xilinx Support

GitHub issues will be used for tracking requests and bugs. For questions, go to forums.xilinx.com.

License

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License.

You may obtain a copy of the License at apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.